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00:00:00
yes
00:00:17
hello everybody i'm afraid of founder of flick to come up
00:00:22
with tech we work to make communication better for everyone
00:00:29
communication plays at from the mentor role in all our lives
00:00:33
imagine if you wake up you couldn't speak you couldn't hear anything
00:00:41
you couldn't ask for help express yourself asked for information
00:00:46
in the wall there are seventy million people affected by the reversible speech impairment
00:00:55
the only way to communicate is biased sign language with people wonder stance a language or pen and paper
00:01:03
up with that we have the solution
00:01:06
decisions here
00:01:10
it's a patented sensor
00:01:13
this is where around the restart and it's able to translate sign language into voice
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so people deaf people will be able to speak with
00:01:24
everyone
00:01:29
the device comes four hundred fifty dollars uh the first time you buy
00:01:33
ten then erica revenue of twenty dollars a month for the service
00:01:40
competition is very basic so there are interpreters fifty dollars
00:01:46
an hour or these we're the keyboard voice phone
00:01:52
and pen and paper
00:01:54
but the man is she you each of our team made of biomedical engineers from e. p. o. call the
00:02:00
speech the frame peter call it and from the device you've done the have developed the sensor technology
00:02:06
and uh gary had us in china to produce our sense and bring it to full product
00:02:14
you put a piece huge we can make
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we can give a voice to people who don't have it
00:02:22
are we looking for rounder to close around the three hundred fifty thousand francs
00:02:27
that we've all ready have seventy percent already committed it's the first stage
00:02:31
of three stages investments is the first part where we will end up
00:02:36
with uh the first full a platform for british sign language translation
00:02:43
thank you very much
00:02:46
hi
00:02:52
yeah matt any questions on the audio
00:02:59
yes sure so the sensor technology
00:03:03
this one goes under east here
00:03:08
and the set of sensor are able to recognise the monitor tendons
00:03:12
movement under raised panels are connected fingers and recognise finger movements
00:03:18
then is able to recognise signs and then translates sizes attacks and then taxes what's
00:03:31
another question

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